Abstract
In this chapter different statistical structures, which might be used as statistical foundation of DEA, will first be analyzed and one particular structure will be picked as appropriate for output-specific efficiency estimation. This will be followed by a formal description of how DEA may be utilized for a technology representation based on inputs and output-ratios (rather than outputs themselves) based on a fixed set of Farrell-efficient points, a straightforward extension of DEA ideas. Then a simple procedure for bias correction of DEA frontier point estimates will be sketched, because the standard estimates are known to be biased under any of the potentially underlying statistical structures and because such bias correction will also underly the reported results in Chapter 8.
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© 2002 Springer Science+Business Media Dordrecht
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Gstach, D. (2002). Technology Estimation. In: Estimating Output-Specific Efficiencies. Applied Optimization, vol 61. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0007-0_2
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DOI: https://doi.org/10.1007/978-1-4615-0007-0_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-4883-2
Online ISBN: 978-1-4615-0007-0
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